{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyOOz4oJ2X5aEdmV9XD3/XGv",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/alessandropequeno/PPGEEC-Deep-Learning-UFRN/blob/main/Quest%C3%A3o4_Lista2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 4-) Utilize uma rede NARX no caso uma rede neural perceptron de múltiplas camadas com realimentação global para fazer a predição de um passo, isto é ^x(n+1), da série temporal x(n) = (1 + sen(n + sen²(n)))^1/2 . Avalie o desempenho apresentando a curva da série para x(n+1) e a curva de predição ^x(n+1) em função em função de n. Esboce também a curva do erro de predição e(n)=x(n+1)-x^(n+1) em função de n."
      ],
      "metadata": {
        "id": "IGNfqzLZ8zL-"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "A Rede Neural Autoregressiva com Entradas Exógenas (NARX) é um tipo de modelo de rede neural usado principalmente para modelagem e previsão de séries temporais. Ao contrário de redes neurais tradicionais que apenas dependem de dados históricos para prever o próximo ponto em uma série temporal, as redes NARX também incorporam entradas exógenas, ou seja, informações externas que podem influenciar a série temporal.\n",
        "\n",
        "Essa rede neural tem a capacidade de lembrar do seu próprio estado anterior, bem como das entradas exógenas anteriores, para fazer previsões futuras. Ela pode ser usada em uma variedade de aplicações, como previsão de demanda de energia elétrica, previsão de preços de ações, previsão de séries temporais climáticas, entre outros.\n",
        "\n",
        "A capacidade de incorporar entradas exógenas torna as redes NARX bastante flexíveis e úteis em cenários onde a série temporal de interesse é influenciada por fatores externos."
      ],
      "metadata": {
        "id": "itoLrx9H-H4H"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 1. Importar as bibliotecas"
      ],
      "metadata": {
        "id": "JUwBj2FyLyx5"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "AxxHJh0-8wKa"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import tensorflow as tf"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 2. Gerar a série Temporal x(n)"
      ],
      "metadata": {
        "id": "A7SgF3STMGIb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "n = np.linspace(1, 100, 1000)  # Criando valores de n de 1 a 100\n",
        "x = np.sqrt(1 + np.sin(n + np.sin(n)**2))  # Gerando série temporal usando a equação fornecida"
      ],
      "metadata": {
        "id": "unofwlvIMLqG"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Plotar o gráfico\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.plot(n, x, label='x(n) = sqrt(1 + sin(n + sin^2(n)))')\n",
        "plt.xlabel('n')\n",
        "plt.ylabel('x(n)')\n",
        "plt.title('Gráfico da Função x(n)')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 565
        },
        "id": "XCDy06nGMT1a",
        "outputId": "9816f0cd-33db-444b-cc8a-c655b85ca00c"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3. Prepar os dados de entrada e saída"
      ],
      "metadata": {
        "id": "0XT2eL66NswR"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Definindo os dados de entrada (x(n)x(n)) e saída desejada (x(n+1)x(n+1)). O valor de entrada para cada ponto na série temporal é x(n)x(n), e o valor de saída desejada é o próximo ponto na série temporal x(n+1)x(n+1).\n"
      ],
      "metadata": {
        "id": "zckw-uw3Nzn-"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Na abordagem da rede NARX, é incluido a variável de tempo nn como uma entrada exógena. Isso é feito através da função np.vstack((x[:-1], n[:-1])).T, que empilha verticalmente os arrays xx e nn e então transpõe o resultado para que cada linha represente um par (x(n),n)(x(n),n)."
      ],
      "metadata": {
        "id": "4smvWhTvOvv_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x_train = np.vstack((x[:-1], n[:-1])).T\n",
        "y_train = x[1:]"
      ],
      "metadata": {
        "id": "1xgMgrvdNyvG"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 4. Definindo o modelo da rede neural"
      ],
      "metadata": {
        "id": "wcBQ4N7kO3up"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Este modelo consiste em três camadas densas (totalmente conectadas), onde a primeira camada tem 10 neurônios, a segunda camada tem 10 neurônios e a camada de saída tem 1 neurônio. Usamos a função de ativação ReLU ('relu') para as camadas ocultas."
      ],
      "metadata": {
        "id": "pscW9BuYO-hs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model = tf.keras.Sequential([\n",
        "    tf.keras.layers.Dense(32, input_shape=(2,), activation='relu'),  # Camada de entrada\n",
        "    tf.keras.layers.Dense(32, activation='relu'),  # Camada oculta\n",
        "    tf.keras.layers.Dense(32, activation='relu'),  # Camada oculta\n",
        "    tf.keras.layers.Dense(1)  # Camada de saída\n",
        "])"
      ],
      "metadata": {
        "id": "djtxNenWO9B2"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "A rede neural NARX leve em consideração tanto a série temporal passada quanto informações externas, como a variável de tempo, ao fazer suas previsões. Isso pode ser útil em muitos cenários onde as séries temporais são influenciadas por fatores externos.\n"
      ],
      "metadata": {
        "id": "MM5KpBGrPKZ6"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 5. Compilar Modelo"
      ],
      "metadata": {
        "id": "EbA6pQMIQuGu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model.compile(optimizer='adam', loss='mse')"
      ],
      "metadata": {
        "id": "N_LNxVAhQfP6"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 6. Treinando o Modelo"
      ],
      "metadata": {
        "id": "DdUdyNWQQ4Xr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model.fit(x_train, y_train, epochs=100, verbose=1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CUnPKFZOQz9y",
        "outputId": "a1583544-1a42-4904-e513-ce13d16f282e"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/100\n",
            "32/32 [==============================] - 1s 2ms/step - loss: 0.9856\n",
            "Epoch 2/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.1965\n",
            "Epoch 3/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0729\n",
            "Epoch 4/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0254\n",
            "Epoch 5/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0161\n",
            "Epoch 6/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0131\n",
            "Epoch 7/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0121\n",
            "Epoch 8/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0100\n",
            "Epoch 9/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0086\n",
            "Epoch 10/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0074\n",
            "Epoch 11/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0051\n",
            "Epoch 12/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0060\n",
            "Epoch 13/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0067\n",
            "Epoch 14/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0061\n",
            "Epoch 15/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0044\n",
            "Epoch 16/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0060\n",
            "Epoch 17/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0066\n",
            "Epoch 18/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0078\n",
            "Epoch 19/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0055\n",
            "Epoch 20/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0040\n",
            "Epoch 21/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0045\n",
            "Epoch 22/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0176\n",
            "Epoch 23/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0072\n",
            "Epoch 24/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0054\n",
            "Epoch 25/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0060\n",
            "Epoch 26/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0050\n",
            "Epoch 27/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0046\n",
            "Epoch 28/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0059\n",
            "Epoch 29/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0044\n",
            "Epoch 30/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0052\n",
            "Epoch 31/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0055\n",
            "Epoch 32/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0042\n",
            "Epoch 33/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0045\n",
            "Epoch 34/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0046\n",
            "Epoch 35/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0044\n",
            "Epoch 36/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0098\n",
            "Epoch 37/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0063\n",
            "Epoch 38/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0063\n",
            "Epoch 39/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0124\n",
            "Epoch 40/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0057\n",
            "Epoch 41/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0038\n",
            "Epoch 42/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0060\n",
            "Epoch 43/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0052\n",
            "Epoch 44/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0054\n",
            "Epoch 45/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0061\n",
            "Epoch 46/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0040\n",
            "Epoch 47/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0037\n",
            "Epoch 48/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0042\n",
            "Epoch 49/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0043\n",
            "Epoch 50/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0052\n",
            "Epoch 51/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0071\n",
            "Epoch 52/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0102\n",
            "Epoch 53/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0048\n",
            "Epoch 54/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0065\n",
            "Epoch 55/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0195\n",
            "Epoch 56/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0132\n",
            "Epoch 57/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0049\n",
            "Epoch 58/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0059\n",
            "Epoch 59/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0050\n",
            "Epoch 60/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0036\n",
            "Epoch 61/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0048\n",
            "Epoch 62/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0041\n",
            "Epoch 63/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0037\n",
            "Epoch 64/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0042\n",
            "Epoch 65/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0038\n",
            "Epoch 66/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0045\n",
            "Epoch 67/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0038\n",
            "Epoch 68/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0043\n",
            "Epoch 69/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0039\n",
            "Epoch 70/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0062\n",
            "Epoch 71/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0062\n",
            "Epoch 72/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0050\n",
            "Epoch 73/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0042\n",
            "Epoch 74/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0044\n",
            "Epoch 75/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0054\n",
            "Epoch 76/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0041\n",
            "Epoch 77/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0038\n",
            "Epoch 78/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0049\n",
            "Epoch 79/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0055\n",
            "Epoch 80/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0073\n",
            "Epoch 81/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0044\n",
            "Epoch 82/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0039\n",
            "Epoch 83/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0042\n",
            "Epoch 84/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0049\n",
            "Epoch 85/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0066\n",
            "Epoch 86/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0046\n",
            "Epoch 87/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0056\n",
            "Epoch 88/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0043\n",
            "Epoch 89/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0049\n",
            "Epoch 90/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0045\n",
            "Epoch 91/100\n",
            "32/32 [==============================] - 0s 3ms/step - loss: 0.0045\n",
            "Epoch 92/100\n",
            "32/32 [==============================] - 0s 3ms/step - loss: 0.0044\n",
            "Epoch 93/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0050\n",
            "Epoch 94/100\n",
            "32/32 [==============================] - 0s 3ms/step - loss: 0.0059\n",
            "Epoch 95/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0042\n",
            "Epoch 96/100\n",
            "32/32 [==============================] - 0s 3ms/step - loss: 0.0059\n",
            "Epoch 97/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0140\n",
            "Epoch 98/100\n",
            "32/32 [==============================] - 0s 2ms/step - loss: 0.0055\n",
            "Epoch 99/100\n",
            "32/32 [==============================] - 0s 3ms/step - loss: 0.0065\n",
            "Epoch 100/100\n",
            "32/32 [==============================] - 0s 3ms/step - loss: 0.0106\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.src.callbacks.History at 0x78bcc0113b80>"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 7. Realizando a predição"
      ],
      "metadata": {
        "id": "tcSrePRKRJK-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x_pred = model.predict(x_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "By9KqHsiREFu",
        "outputId": "2050e7c0-e38c-4099-8e06-8e0ba8e8e737"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "32/32 [==============================] - 0s 1ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 8. Calcular o erro de predição"
      ],
      "metadata": {
        "id": "LjhQ9bihRXTn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "erro = y_train - x_pred.flatten()"
      ],
      "metadata": {
        "id": "9Xqc_xmuRSGu"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 9. Mostrar os gráficos resultantes"
      ],
      "metadata": {
        "id": "Gbj-qYbaRiXV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "plt.subplot(2, 1, 1)\n",
        "plt.plot(n[1:], x[1:], label='Série Temporal x(n+1)')\n",
        "plt.plot(n[1:], x_pred, label='Predição ^x(n+1)')\n",
        "plt.xlabel('n')\n",
        "plt.ylabel('Valor')\n",
        "plt.title('Série Temporal e Predição')\n",
        "plt.legend()\n",
        "\n",
        "plt.subplot(2, 1, 2)\n",
        "plt.plot(n[1:], erro, label='Erro de Predição e(n)')\n",
        "plt.xlabel('n')\n",
        "plt.ylabel('Erro')\n",
        "plt.title('Erro de Predição')\n",
        "plt.legend()\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "SeFmpMBBRmwn",
        "outputId": "ee3c6644-2882-46ab-9bb9-4140c6b505d4"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "No primeiro gráfico, podemos observar duas linhas: uma representando a série temporal real x(n+1)x(n+1) e outra representando a predição (^x(n+1)) feita pela rede neural. Se a predição for precisa, essas duas linhas devem se sobrepor ou estar muito próximas.\n",
        "\n",
        "Se as duas linhas estiverem muito próximas, isso indica que o modelo de rede neural foi capaz de aprender padrões na série temporal e fazer previsões razoavelmente precisas. No entanto, se houver uma diferença significativa entre as duas linhas, indica que o modelo pode não ter capturado adequadamente os padrões na série temporal ou pode ter sido subtreinado."
      ],
      "metadata": {
        "id": "ZiffN__SUnfx"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**O gráfico de erro de predição mostra um padrão periódico**, isso pode indicar a presença de um padrão na série temporal que o modelo não foi capaz de capturar completamente. Podemos ter algumas interpretações possíveis desse padrão:\n",
        "\n",
        " **Padrão não capturado pelo modelo:**\n",
        "    O padrão periódico no erro de predição sugere que o modelo pode não estar conseguindo capturar completamente as variações na série temporal. Se o modelo não inclui componentes suficientes para modelar a periodicidade na série, isso pode levar a previsões imprecisas e, consequentemente, a um padrão periódico no erro de predição.\n",
        "\n",
        "**Subajuste do modelo:**\n",
        "    O modelo pode estar subajustado, ou seja, não está sendo complexo o suficiente para capturar todos os padrões na série temporal. Isso pode resultar em previsões imprecisas e padrões periódicos no erro de predição, onde o modelo está constantemente subestimando ou superestimando os valores reais da série temporal.\n",
        "\n",
        "**Padrão na série temporal não modelado:**\n",
        "    A presença de um padrão periódico no erro de predição pode indicar a presença de uma componente periódica na série temporal que o modelo não está considerando. Isso pode incluir sazonalidades, ciclos ou outros padrões periódicos que não foram incluídos no modelo.\n",
        "\n",
        "**Overfitting com ruído:**\n",
        "    Por outro lado, se o modelo for muito complexo ou se ajustar demais aos dados de treinamento, ele pode começar a capturar o ruído nos dados em vez dos padrões reais. Isso pode resultar em previsões imprecisas e um padrão aparente no erro de predição, que não reflete necessariamente a estrutura verdadeira da série temporal.\n",
        "\n",
        "Em qualquer caso, a identificação desse padrão periódico no erro de predição indica que o modelo pode precisar de ajustes adicionais para melhorar sua capacidade de previsão e capturar os padrões na série temporal com mais precisão. Isso pode envolver a adição de mais recursos, ajuste dos hiperparâmetros do modelo ou consideração de modelos mais avançados para lidar com a complexidade dos dados."
      ],
      "metadata": {
        "id": "1Pwehb8PToSq"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "aW4FzzyFUKB5"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}